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06/16/2023
Collapsed Inference for Bayesian Deep Learning
Bayesian neural networks (BNNs) provide a formalism to quantify and cali...
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10/04/2022
SIMPLE: A Gradient Estimator for k-Subset Sampling
k-subset sampling is ubiquitous in machine learning, enabling regulariza...
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02/21/2021
Tractable Computation of Expected Kernels by Circuits
Computing the expectation of some kernel function is ubiquitous in machi...
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02/28/2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Weighted model integration (WMI) is a very appealing framework for proba...
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09/20/2019
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message-Passing
Weighted model integration (WMI) is a very appealing framework for proba...
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03/13/2019
Efficient Search-Based Weighted Model Integration
Weighted model integration (WMI) extends Weighted model counting (WMC) t...
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11/20/2017
